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The General Addition Rule For any two events A and B, P(A or B) = P(A) + P(B) – P(A and B) For any two events A and B, P(A and B) = P(A) + P(B) – P(A or B)
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Section K The Addition Rule and the Rule of Complements In the previous section, the probabilities found were just for one event, now we will look at how to find probabilities for two or more events together, in other words compound events. (Round all answers to two or three decimal places.) A compound event is an event that is formed by combining 2 or more events. P(A or B) = P(A occurs or B occurs or both occur) – inclusive “or” P(A and B) = P(both A and B occur) Contingency Table – a table showing the distribution of one variable in rows and another in columns. Examples: 1) The following table shows the results of a survey for the income level and an individual’s favorite form of entertainment. Income Favorite Form of Entertainment Television Movies Theatre (live) Total Under $25,000 35 20 5 60 Between $25,000 and $50,000 25 18 7 50 Over $50,000 12 14 14 40 Total 72 52 26 150 A person is selected at random from this group, calculate the following probabilities: a) Find the probability that a randomly chosen individual’s favorite form of entertainment is going to the movies. P(Movies) = 𝟓𝟐 𝟏𝟓𝟎
b) P(Income is under $25,000) = 𝟔𝟎 𝟏𝟓𝟎
c) P(Income is over $50,000 or favorite form of entertainment is going to the Theatre) = 𝟓𝟐 𝟏𝟓𝟎
d) P(Income between $25,000 and $50,000 and going to the movies) = 𝟏𝟖 𝟏𝟓𝟎 = 𝟎. 𝟏𝟐 e) P(Income is over $25,000) = 𝟗𝟎 𝟏𝟓𝟎
b) P(The person is aged between 21 and 30 or never gambles) = 𝟏𝟎𝟕 𝟐𝟎𝟎
c) P(The person is over 45 and gambles frequency) = 𝟏𝟎 𝟐𝟎𝟎
d) P(The person is over 31) = 𝟏𝟎𝟎 𝟐𝟎𝟎
e) P(The person gambles frequency or occasionally) = 𝟏𝟐𝟎 𝟐𝟎𝟎
f) P(The person is not under 20) = 𝟏𝟓𝟎 𝟐𝟎𝟎
In the above examples, since you are given a contingency table you do not need to use formulas to find probabilities, but you are not always given a contingency table so formulas are needed to find certain probabilities. The General Addition Rule For any two events A and B, P(A or B) = P(A) + P(B) – P(A and B) For any two events A and B, P(A and B) = P(A) + P(B) – P(A or B) Examples: 3 ) If P(A) = 0.35, P(B) = 0.8 and P(A and B) = 0.25. Find P(A or B). P(A or B) = 0.35 + 0.8 – 0.25 = 0. 4 ) If P(A) = 0.58, P(B) = 0.43 and P(A or B) = 0.85. Find P(A and B). P(A and B) = 0.58 + 0. 43 – 0.85 = 0. Age Gambling Frequently Occasionally Never Total Under 20 12 18 20 50 21 – 30 10 17 23 50 31 – 45 28 15 7 50 Over 45 10 10 30 50 Total 60 60 80 200
Complement If A is any event, the complement of A is the event that A does not occur. The complement of A is denoted AC. Note: P(A) + P(AC) = 1, so P(AC) = 1 – P(A) Example:
b) P(the person lives in a House) = 𝟒𝟔𝟖 𝟏𝟕𝟑𝟔
c) P(the person lives in an apartment or a townhouse) = 𝟔𝟒𝟔+𝟑𝟒𝟑 𝟏𝟕𝟑𝟔
𝟗𝟖𝟗 𝟏𝟕𝟑𝟔
Type of Accommodation Frequency House 468 Condo 279 Apartment 646 Townhouse 343 Total 1736
𝟓𝟎 𝟐𝟓𝟎 = 𝟎. 𝟐𝟎 P(M and E) = 𝟐𝟎 𝟐𝟓𝟎
so P(M or E) = 0.152 + 0.20 – 0.08 = 0. b) Find the probability a randomly chosen student did not earn an A in MAT125. P(MC) = 1 – 0.152 = 0.
b) Find the probability the student earned an A in the course. P(earned an A) = 𝟑+𝟔 𝟒𝟎
𝟗 𝟒𝟎
c) Find the probability the student is male and earned an A. P(male and A) = 𝟑 𝟒𝟎
d) Find the probability the student is male or earned an A. P(male or A) = P(male) + P(A) – P(male and A) = 0.425 + 0.225 – 0.075 = 0. e) Find the probability the student did not earn an A. P(AC) = 1 – 0.225 = 0.